Meaningful integration of data, analytics and services of computer-based medical systems: The MIDAS touch

Michaela Black; Jonathan Wallace; Debbie Rankin; Paul Carlin; Raymond Bond; Maurice Mulvenna; Brian Cleland; Scott Fischaber; Gorka Epelde; Gorana Nikolic; Juha Pajula; Regina Connolly

doi:10.1109/CBMS.2019.00031

Meaningful integration of data, analytics and services of computer-based medical systems: The MIDAS touch

Michaela Black, Jonathan Wallace, Debbie Rankin, Paul Carlin, Raymond Bond, Maurice Mulvenna, Brian Cleland, Scott Fischaber, Gorka Epelde, Gorana Nikolic, Juha Pajula, Regina Connolly

BA1612 Smart health

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

The MIDAS consortium is a partnership involving health authorities, and technical big data experts from universities, research institutions, MNCs and SMEs across six EU countries (UK (NI and England), Ireland, Belgium, Finland, Spain and Slovenia), and the USA. The management of big data for 'health in all' poses a significant challenge for health policy makers. This challenge is addressed by the MIDAS project through the development of an integrated solution enabling knowledge liberation from data silos and unification of heterogeneous big data sources that can provide evidence-based actionable information and transform the way care is provided.

Original language	English
Title of host publication	IEEE 32nd International Symposium on Computer-Based Medical Systems
Subtitle of host publication	CBMS 2019
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	104-105
Number of pages	2
ISBN (Electronic)	978-117281-2286-1
ISBN (Print)	978-1-7281-2287-8
DOIs	https://doi.org/10.1109/CBMS.2019.00031
Publication status	Published - Jun 2019
MoE publication type	A4 Article in a conference publication
Event	32nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2019: CBMS 2019 - Cordoba, Spain Duration: 5 Jun 2019 → 7 Jun 2019

Publication series

Series	IEEE International Symposium on Computer-Based Medical Systems
ISSN	2372-918X

Conference

Conference	32nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2019
Country	Spain
City	Cordoba
Period	5/06/19 → 7/06/19

Keywords

Big data
Data analytics
Health policy
User-centred design
Visualisation

Access to Document

10.1109/CBMS.2019.00031

Link to publication in Scopus

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Black, M., Wallace, J., Rankin, D., Carlin, P., Bond, R., Mulvenna, M., Cleland, B., Fischaber, S., Epelde, G., Nikolic, G., Pajula, J., & Connolly, R. (2019). Meaningful integration of data, analytics and services of computer-based medical systems: The MIDAS touch. In IEEE 32nd International Symposium on Computer-Based Medical Systems: CBMS 2019 (pp. 104-105). [8787457] IEEE Institute of Electrical and Electronic Engineers. IEEE International Symposium on Computer-Based Medical Systems https://doi.org/10.1109/CBMS.2019.00031

Black, Michaela ; Wallace, Jonathan ; Rankin, Debbie ; Carlin, Paul ; Bond, Raymond ; Mulvenna, Maurice ; Cleland, Brian ; Fischaber, Scott ; Epelde, Gorka ; Nikolic, Gorana ; Pajula, Juha ; Connolly, Regina. / Meaningful integration of data, analytics and services of computer-based medical systems : The MIDAS touch. IEEE 32nd International Symposium on Computer-Based Medical Systems: CBMS 2019. IEEE Institute of Electrical and Electronic Engineers, 2019. pp. 104-105 (IEEE International Symposium on Computer-Based Medical Systems).

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abstract = "The MIDAS consortium is a partnership involving health authorities, and technical big data experts from universities, research institutions, MNCs and SMEs across six EU countries (UK (NI and England), Ireland, Belgium, Finland, Spain and Slovenia), and the USA. The management of big data for 'health in all' poses a significant challenge for health policy makers. This challenge is addressed by the MIDAS project through the development of an integrated solution enabling knowledge liberation from data silos and unification of heterogeneous big data sources that can provide evidence-based actionable information and transform the way care is provided.",

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author = "Michaela Black and Jonathan Wallace and Debbie Rankin and Paul Carlin and Raymond Bond and Maurice Mulvenna and Brian Cleland and Scott Fischaber and Gorka Epelde and Gorana Nikolic and Juha Pajula and Regina Connolly",

year = "2019",

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Black, M, Wallace, J, Rankin, D, Carlin, P, Bond, R, Mulvenna, M, Cleland, B, Fischaber, S, Epelde, G, Nikolic, G, Pajula, J & Connolly, R 2019, Meaningful integration of data, analytics and services of computer-based medical systems: The MIDAS touch. in IEEE 32nd International Symposium on Computer-Based Medical Systems: CBMS 2019., 8787457, IEEE Institute of Electrical and Electronic Engineers, IEEE International Symposium on Computer-Based Medical Systems, pp. 104-105, 32nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2019, Cordoba, Spain, 5/06/19. https://doi.org/10.1109/CBMS.2019.00031

Meaningful integration of data, analytics and services of computer-based medical systems : The MIDAS touch. / Black, Michaela; Wallace, Jonathan; Rankin, Debbie; Carlin, Paul; Bond, Raymond; Mulvenna, Maurice; Cleland, Brian; Fischaber, Scott; Epelde, Gorka; Nikolic, Gorana; Pajula, Juha; Connolly, Regina.

IEEE 32nd International Symposium on Computer-Based Medical Systems: CBMS 2019. IEEE Institute of Electrical and Electronic Engineers, 2019. p. 104-105 8787457 (IEEE International Symposium on Computer-Based Medical Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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Black M, Wallace J, Rankin D, Carlin P, Bond R, Mulvenna M et al. Meaningful integration of data, analytics and services of computer-based medical systems: The MIDAS touch. In IEEE 32nd International Symposium on Computer-Based Medical Systems: CBMS 2019. IEEE Institute of Electrical and Electronic Engineers. 2019. p. 104-105. 8787457. (IEEE International Symposium on Computer-Based Medical Systems). https://doi.org/10.1109/CBMS.2019.00031